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DAGM
2006
Springer
14 years 1 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
ICASSP
2011
IEEE
13 years 1 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
ECCV
2004
Springer
15 years 3 days ago
On the Significance of Real-World Conditions for Material Classification
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
ICSE
2004
IEEE-ACM
14 years 10 months ago
Concerning Predictability in Dependable Component-Based Systems: Classification of Quality Attributes
One of the main objectives of developing component-based software systems is to enable efficient building of systems through the integration of components. All component models def...
Ivica Crnkovic, Magnus Larsson, Otto Preiss
ECAI
2006
Springer
14 years 5 days ago
Count-As Conditionals, Classification and Context
Abstract. Searle represents constitutive norms as count-as conditionals, written as `X counts as Y in context C'. Grossi et al. study a class of these conditionals as `in cont...
Guido Boella, Leendert W. N. van der Torre